A Framework for Enabling Dynamic E-Business Strategies via new Enterprise Paradigms and ERP Solutions

2013 ◽  
pp. 1561-1595 ◽  
Author(s):  
Yi Wan ◽  
Ben Clegg ◽  
Prasanta Kumar Dey

In the global Internet economy, e-business as a driving force to redefine business models and operational processes is posing new challenges for traditional organizational structures and information system (IS) architectures. These are showing promises of a renewed period of innovative thinking in e-business strategies with new enterprise paradigms and different Enterprise Resource Planning (ERP) systems. In this chapter, the authors consider and investigate how dynamic e-business strategies, as the next evolutionary generation of e-business, can be realized through newly diverse enterprise structures supported by ERP, ERPII and so-called “ERPIII” solutions relying on the virtual value chain concept. Exploratory inductive multi-case studies in manufacturing and printing industries have been conducted. Additionally, it proposes a conceptual framework to discuss the adoption and governance of ERP systems within the context of three enterprise forms for enabling dynamic and collaborative e-business strategies, and particularly demonstrate how an enterprise can dynamically migrate from its current position to the patterns it desires to occupy in the future – a migration that must and will include dynamic e-business as a core competency, but that also relies heavily on ERP-based backbone and other robust technological platform and applications.

Author(s):  
Yi Wan ◽  
Ben Clegg ◽  
Prasanta Kumar Dey

In the global Internet economy, e-business as a driving force to redefine business models and operational processes is posing new challenges for traditional organizational structures and information system (IS) architectures. These are showing promises of a renewed period of innovative thinking in e-business strategies with new enterprise paradigms and different Enterprise Resource Planning (ERP) systems. In this chapter, the authors consider and investigate how dynamic e-business strategies, as the next evolutionary generation of e-business, can be realized through newly diverse enterprise structures supported by ERP, ERPII and so-called “ERPIII” solutions relying on the virtual value chain concept. Exploratory inductive multi-case studies in manufacturing and printing industries have been conducted. Additionally, it proposes a conceptual framework to discuss the adoption and governance of ERP systems within the context of three enterprise forms for enabling dynamic and collaborative e-business strategies, and particularly demonstrate how an enterprise can dynamically migrate from its current position to the patterns it desires to occupy in the future – a migration that must and will include dynamic e-business as a core competency, but that also relies heavily on ERP-based backbone and other robust technological platform and applications.


2019 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Nooradeen Adel AlGhazzawi ◽  
Nouf Essam Katooa

Saudi businesses rely on effective data management to trade along their internal and external supply (value) chains and must continually monitor and upgrade legacy data systems. To understand these processes, this study explores the experiences of six diverse Saudi firms as case studies: an air transport data system, vertical integration of global firms' subsidiaries, a value chain system, and entrepreneurs taking advantage of cloud opportunities. Rather than following the literature in focusing on the decision making steps to upgrade organizational data-based resources, this research considers how the firms integrated cloud technologies with their existing or new business models. The case studies were conducted post-implementation of cloud data projects to qualitatively assess the expectations of owners and executives of firms from their initiatives.Overall, the findings were that firms' experiences when online resulted in better integration with upstream international suppliers, greater cost control, and adapted and new business model advantages. Of the cases, two retailers and an intermediary/retail stationer used their new cloud-based data resources by expanding to online sales platforms. The largest firm was able to use its industry leadership to develop online data integration with firms through its value chains. The remaining firms were more circumspect. The data infrastructure firm merely formed a cloud sibling company to enhance its core business. The airline's industry data provider moved all its clients to cloud services, and the wholesaler similarly agreed to contract with its value chain's digital provider.This paper is presented as an introduction including the purpose of the study, a short literature review, methodology, results, comparative analysis, and conclusions. There was insufficient opportunity to provide a detailed discussion placing the cases into previous findings, although this empirical study is focussed on cloud migration outcomes rather than change factors.


Author(s):  
Fergal Carton ◽  
Frederic Adam

The provision of timely, accurate, relevant, and concise information for managerial decision making has traditionally represented a challenge to information systems designers. The mass adoption of enterprise resource planning (ERP) systems has multiplied the amount of data being recorded about the movement of inventory in the supply chain. However, this online information requires much off-line manipulation in order for it to be meaningful to managers. In addition, these data are based on physical structures and business models that evolve over time, and thus inevitably a gap opens between the virtual enterprise and reality. Despite the benefits of inventory visibility and expenditure control afforded by ERP systems, managers still require data from other, nonintegrated systems. In this chapter the authors present their research on decision-making support in two manufacturing organisations, with the objective of understanding how these integrated applications support the manager in achieving his or her goals.


Author(s):  
Charles Møller

“ERP is dead - long live ERP II” was the title of a path breaking research note from Gartner Group (Bond, Genovese, Miklovic, Wood, Zrimsek, & Rayner, 2000). In this research note, Gartner Group envisions how the ERP vendors respond to market challenges and how ERP and ERP strategies evolved by 2005. Gartner Group defines ERP II as a transformation of ERP (Enterprise Resource Planning), and today the major vendors have adopted this concept in their contemporary ERP packages. ERP (Enterprise Resource Planning) is an important concept to industry. Enterprises are increasingly implementing packaged ERP systems. A recent study confirmed that over 90% of the 500 largest Danish enterprises have adopted one or more ERP system. Further, the study found the systems to be of an average age of 2.8 years and decreasing (Møller, 2005a). ERP is a standardized software package designed to integrate the internal value chain of an enterprise (Klaus, Rosemann, & Gable, 2000). In 2002, the five major ERP vendors were: (i) SAP; (ii) Oracle; (iii) Peoplesoft; (iv) SAGE; and (v) Microsoft Business Solutions. They controled almost 50% of the ERP market (c.f. Table 1) and consequently the corporate infrastructure is dominated by the design of these systems and the vendors. By 2006, the market is consolidated and many of the smaller vendors have been merged with larger vendors. Oracle acquired PeopleSoft and JD Edwards and the global market seems to be dominated by SAP, Oracle and Microsoft. According to Nah (2002) the American Production and Inventory Control Society (APICS) defines ERP as: “a method for the effective planning and controlling of all the resources needed to take, make, ship and account for customer orders in a manufacturing, distribution or service company.” This definition expresses ERP as a tool but ERP is also a management vision and an agency of change and ERP has been attributed to almost any good or bad that IT may bring about in business. In the late 1990s, the ERP hype was primarily motivated by companies rushing to prepare for Y2K (Calloway, 2000). Then, after a short recession the adoption of ERP has continued. Davenport’s sequel on enterprise systems (Davenport, 1998, 2000; Davenport & Brooks, 2004) illustrates the changing business perspective on ERP and the ERP hype. Davenport (1998) sums up the first wave of experiences from implementing ERP systems in a much cited paper on “putting the enterprise system into the enterprise,” and points to the new potential business impact of the ERP systems. The discussion evolved over the first enthusiastic expectations, continued over a growing number of horror stories about failed or out-of-control projects, toward a renewed hype of expectations on e-business and SCM. The ERP II concept is the software industry’s perception of the new business challenges and the vision addresses the issues of e-business integration in the supply chain. ERP II is the next-generation ERP concept and in a few years from now the ERP II vision is going to be institutionalized into the infrastructure of most enterprises. This article will portray the conceptual framework of ERP II.


2010 ◽  
pp. 2126-2133
Author(s):  
Charles Møller

“ERP is dead - long live ERP II” was the title of a path breaking research note from Gartner Group (Bond, Genovese, Miklovic, Wood, Zrimsek, & Rayner, 2000). In this research note, Gartner Group envisions how the ERP vendors respond to market challenges and how ERP and ERP strategies evolved by 2005. Gartner Group defines ERP II as a transformation of ERP (Enterprise Resource Planning), and today the major vendors have adopted this concept in their contemporary ERP packages. ERP (Enterprise Resource Planning) is an important concept to industry. Enterprises are increasingly implementing packaged ERP systems. A recent study confirmed that over 90% of the 500 largest Danish enterprises have adopted one or more ERP system. Further, the study found the systems to be of an average age of 2.8 years and decreasing (Møller, 2005a). ERP is a standardized software package designed to integrate the internal value chain of an enterprise (Klaus, Rosemann, & Gable, 2000). In 2002, the five major ERP vendors were: (i) SAP; (ii) Oracle; (iii) Peoplesoft; (iv) SAGE; and (v) Microsoft Business Solutions. They controled almost 50% of the ERP market (c.f. Table 1) and consequently the corporate infrastructure is dominated by the design of these systems and the vendors. By 2006, the market is consolidated and many of the smaller vendors have been merged with larger vendors. Oracle acquired PeopleSoft and JD Edwards and the global market seems to be dominated by SAP, Oracle and Microsoft. According to Nah (2002) the American Production and Inventory Control Society (APICS) defines ERP as: “a method for the effective planning and controlling of all the resources needed to take, make, ship and account for customer orders in a manufacturing, distribution or service company.” This definition expresses ERP as a tool but ERP is also a management vision and an agency of change and ERP has been attributed to almost any good or bad that IT may bring about in business. In the late 1990s, the ERP hype was primarily motivated by companies rushing to prepare for Y2K (Calloway, 2000). Then, after a short recession the adoption of ERP has continued. Davenport’s sequel on enterprise systems (Davenport, 1998, 2000; Davenport & Brooks, 2004) illustrates the changing business perspective on ERP and the ERP hype. Davenport (1998) sums up the first wave of experiences from implementing ERP systems in a much cited paper on “putting the enterprise system into the enterprise,” and points to the new potential business impact of the ERP systems. The discussion evolved over the first enthusiastic expectations, continued over a growing number of horror stories about failed or out-of-control projects, toward a renewed hype of expectations on e-business and SCM. The ERP II concept is the software industry’s perception of the new business challenges and the vision addresses the issues of e-business integration in the supply chain. ERP II is the next-generation ERP concept and in a few years from now the ERP II vision is going to be institutionalized into the infrastructure of most enterprises. This article will portray the conceptual framework of ERP II.


2011 ◽  
pp. 1789-1796
Author(s):  
Charles Møller

“ERP is dead - long live ERP II” was the title of a path breaking research note from Gartner Group (Bond, Genovese, Miklovic, Wood, Zrimsek, & Rayner, 2000). In this research note, Gartner Group envisions how the ERP vendors respond to market challenges and how ERP and ERP strategies evolved by 2005. Gartner Group defines ERP II as a transformation of ERP (Enterprise Resource Planning), and today the major vendors have adopted this concept in their contemporary ERP packages. ERP (Enterprise Resource Planning) is an important concept to industry. Enterprises are increasingly implementing packaged ERP systems. A recent study confirmed that over 90% of the 500 largest Danish enterprises have adopted one or more ERP system. Further, the study found the systems to be of an average age of 2.8 years and decreasing (Møller, 2005a). ERP is a standardized software package designed to integrate the internal value chain of an enterprise (Klaus, Rosemann, & Gable, 2000). In 2002, the five major ERP vendors were: (i) SAP; (ii) Oracle; (iii) Peoplesoft; (iv) SAGE; and (v) Microsoft Business Solutions. They controled almost 50% of the ERP market (c.f. Table 1) and consequently the corporate infrastructure is dominated by the design of these systems and the vendors. By 2006, the market is consolidated and many of the smaller vendors have been merged with larger vendors. Oracle acquired PeopleSoft and JD Edwards and the global market seems to be dominated by SAP, Oracle and Microsoft. According to Nah (2002) the American Production and Inventory Control Society (APICS) defines ERP as: “a method for the effective planning and controlling of all the resources needed to take, make, ship and account for customer orders in a manufacturing, distribution or service company.” This definition expresses ERP as a tool but ERP is also a management vision and an agency of change and ERP has been attributed to almost any good or bad that IT may bring about in business. In the late 1990s, the ERP hype was primarily motivated by companies rushing to prepare for Y2K (Calloway, 2000). Then, after a short recession the adoption of ERP has continued. Davenport’s sequel on enterprise systems (Davenport, 1998, 2000; Davenport & Brooks, 2004) illustrates the changing business perspective on ERP and the ERP hype. Davenport (1998) sums up the first wave of experiences from implementing ERP systems in a much cited paper on “putting the enterprise system into the enterprise,” and points to the new potential business impact of the ERP systems. The discussion evolved over the first enthusiastic expectations, continued over a growing number of horror stories about failed or out-of-control projects, toward a renewed hype of expectations on e-business and SCM. The ERP II concept is the software industry’s perception of the new business challenges and the vision addresses the issues of e-business integration in the supply chain. ERP II is the next-generation ERP concept and in a few years from now the ERP II vision is going to be institutionalized into the infrastructure of most enterprises. This article will portray the conceptual framework of ERP II.


Author(s):  
Ahad Zare Ravasan ◽  
Ali Nabavi ◽  
Taha Mansouri

Implementing enterprise resource planning systems is a sophisticated, lengthy and costly process which tends to face serious failure. Though many contributing factors have been cited in the literature, the authors argue that the integrated nature of ERP systems, which generally requires an organization to adopt standardized business processes reflected in the software, is one of the key factors contributing to these failures. The integration and standardization imposed by most ERP systems may not be suitable for all types of organizational structures and it seems that some characteristics in organizational structures affect the likelihood of implementation success or failure. Based on the theory of organizational structure, this paper analyzes how the traditional variables which define a firm's organizational structure such as formalization, complexity, and centralization along with two variables of size and CIO position in an organization influence ERP projects success. The paper tests five hypotheses using a sample of 203 Iranian cases. The results show that all of the research variables on organizational structure exert a positive influence on ERP success which confirms all the research hypotheses.


2017 ◽  
Vol 2 (2) ◽  
pp. 147-154
Author(s):  
Julian Aristo

Enterprise Resource Planning (ERP) systems have become vital strategic tools in today’s competitive business environment. Implementation of ERP systems is a highly complex process which is influenced not only by technical, but also by other factors. The purpose of this research to find out factors influencing the success of ERP implementations in companies in Jabodetabek. In this research three factors of success implementation ERP were selected on the bases of previous research that includes top management support, project management and user involvement. The results indicate that top management support and project management are key factors affecting the success of ERP implementations, while user involvement does not affect the success of ERP implementations. Top management support, project management and user involvement affect the success rate of 72.7% of ERP implementations. While the rest equal to 27.3% influenced by other variables not included in this research model. Keywords: Enterprise Resource Planning, Top management support, project management, user involvement


2014 ◽  
Vol 933 ◽  
pp. 860-868
Author(s):  
Muneam Zamzeer Al-Magsoosi

Successful implementation of ERP systems should take full advantage of the access to information, but not be constrained by many of the deficiencies associated with infinite capacity scheduling methodologies. In this paper an algorithm is developed which improves the performance of the ERP system. Lot sizing decisions based on capacity availability are used as an instrument to integrate more effectively capacity requirements planning (CRP) and Material Requirements Planning (MRP). MRP is a planning tool for a sub-set of manufacturing system specially in hierarchal multi-product, multi-period and multi-stage production planning and inventory control system. The Vehicle used for this integration is planned order release (POR) quantity. The algorithm requires minimal deviation from the MRP logic. In this sequential process MRP first issues the action notices and then the algorithm analyses the capacity situation in the work centers. The algorithm scans all planned order release quantities of lower level items in the action bucket before orders are released to the shop. For each item a delta value is computed identifying the degree orders are contributing to capacity problems. This delta is specific to each POR. The POR causing the highest overload and the one passing through the lowest utilized work centers are selected for a lot size decrease, respectively, an increase. After identifying the candidates, a series of checks analyses the suitability of the candidates for that change. The planned order release quantities of more items can be performed. Projected capacity profile after iteration will be updated and capacity requirements over a short duration are smoothed. The experiments are performed with MAP/3000 as a simulation model for this study. The developed algorithm is added to MAP/3000 as additional subroutines. The design of the experiments consists of a base test identifying the significance of different environmental parameters of MRP systems and a main test which performs a detailed evaluation. The results are evaluated using analysis of variance techniques. Most ERP systems built on the historical development of MRP and CRP systems, and the assumption of infinite capacity is affecting the performance of those systems badly. This paper is presenting an algorithm to smooth capacity problems by using the existed capacity.


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